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NikAS [45]
3 years ago
15

What is the difference between a positive nonlinear association and a negative linear association?

Mathematics
1 answer:
AlekseyPX3 years ago
3 0

Answer:

Two variables have a positive association when the values of one variable tend to increase as the values of the other variable increase. Two variables have a negative association when the values of one variable tend to decrease as the values of the other variable increase.

Step-by-step explanation:

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Evaluate 9P2- need to make a good grade
Svetllana [295]
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3 0
3 years ago
D.<br> Question 2<br> - 3x + 7 (-6 - 50)<br> c=7<br> x = -9
Reil [10]

Answer:

-365

Step-by-step explanation:

-3x+7(-6-50)

  1. -3(-9)+7(-6-50)
  2. 27+7(-6-50)
  3. 27-42-350
  4. -15-350
  5. =-365
5 0
3 years ago
15) g(n) = 2n + 5 f(n) = -4n-1 Find g(f(n))​
Lisa [10]

Answer:

g[f(n)] = -8n+3

Step-by-step explanation:

Given,

g(n) = 2n + 5 , f(n) = -4n-1

Find g(f(n)),

Solutions,

g[f(n)] = g[-4n-1]

= 2(-4n-1) + 5

= -8n–2+5

g[f(n)] = -8n+3

Final Answer = g[f(n)] = -8n+3.

6 0
3 years ago
A student believes that less than 50% of students at his college receive financial aid. A random sample of 120 students was take
marusya05 [52]

Answer:

p= 0.9995 and we can conclude that students receiving aid is more than 50% according to the sample results in 2% significance level.

Step-by-step explanation:

H_{0}: less than or equal 50% of students at his college receive financial aid

H_{a}: more than 50% of students receive financial aid.

According to the nul hypothesis we assume a normal distribution with proportion 50%.

z-score of sample proportion can be calculated using the formula:

z=\frac{X-M}{\frac{s}{\sqrt{N} } } where

  • X is the sample proportion (0.65)
  • M is the null hypothesis proportion (0.5)
  • s is the standard deviation of the sample (\sqrt{0.5*(1-0.5)})
  • N is the sample size (120)

then z=\frac{0.65-0.50}{\frac{\sqrt{0.25}}{\sqrt{120} } } ≈ 3,29

thus p= 0.9995 and since p<0.02 (2%), we reject the null hypothesis.

4 0
3 years ago
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